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miR-190 suppresses breast cancer metastasis by regulation of TGF-β-induced epithelial–mesenchymal transition

Overview of attention for article published in Molecular Cancer, March 2018
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Title
miR-190 suppresses breast cancer metastasis by regulation of TGF-β-induced epithelial–mesenchymal transition
Published in
Molecular Cancer, March 2018
DOI 10.1186/s12943-018-0818-9
Pubmed ID
Authors

Yue Yu, Wei Luo, Zheng-Jun Yang, Jiang-Rui Chi, Yun-Rui Li, Yu Ding, Jie Ge, Xin Wang, Xu-Chen Cao

Abstract

Breast cancer is the most common cancer among women worldwide and metastasis is the leading cause of death among patients with breast cancer. The transforming growth factor-β (TGF-β) pathway plays critical roles during breast cancer epithelial-mesenchymal transition (EMT) and metastasis. SMAD2, a positive regulator of TGF-β signaling, promotes breast cancer metastasis through induction of EMT. The expression of miR-190 and SMAD2 in breast cancer tissues, adjacent normal breast tissues and cell lines were determined by RT-qPCR. The protein expression levels and localization were analyzed by western blotting and immunofluorescence. ChIP and dual-luciferase report assays were used to validate the regulation of ZEB1-miR-190-SMAD2 axis. The effect of miR-190 on breast cancer progression was investigated both in vitro and in vivo. miR-190 down-regulation is required for TGF-β-induced EMT. miR-190 suppresses breast cancer metastasis both in vitro and in vivo by targeting SMAD2. miR-190 expression is down-regulated and inversely correlates with SMAD2 in breast cancer samples, and its expression level was associated with outcome in patients with breast cancer. Furthermore, miR-190 is transcriptionally regulated by ZEB1. Our data uncover the ZEB1-miR-190-SMAD2 axis and provide a mechanism to explain the TGF-β network in breast cancer metastasis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 7 14%
Student > Postgraduate 5 10%
Researcher 5 10%
Student > Bachelor 4 8%
Other 3 6%
Unknown 17 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 42%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unspecified 1 2%
Other 4 8%
Unknown 17 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Molecular Cancer
#1,298
of 1,733 outputs
Outputs of similar age
#258,064
of 331,979 outputs
Outputs of similar age from Molecular Cancer
#40
of 55 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,733 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.